Zero-Knowledge Audit Framework for Cross-Organization Data Reconciliation
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Solution Overview
Problem
Existing audit methodologies face challenges in maintaining confidentiality while ensuring accurate and comprehensive data sharing across different organizations due to ethical, legal, and regulatory restrictions, which hinder the verification of financial data and reduce the accuracy of audits.
Innovation Solution
A decentralized privacy preserving audit system utilizing an orchestrator system and local systems, coupled through a privacy preserving communication framework like zero-knowledge proof protocols, enables secure data sharing and reconciliation across local systems without compromising privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data sharing restrictions are imposed to maintain confidentiality, then privacy protection is improved, but audit accuracy and completeness deteriorate
Solution Approach 1:
The patent introduces a privacy-preserving communication framework as an intermediary layer between audit systems and client systems. This framework uses zero-knowledge proof protocols and secure multi-party computation to enable verification of financial data without exposing underlying sensitive information. The intermediary allows audit assertions to be tested while maintaining confidentiality barriers, thus resolving the contradiction between privacy protection and audit accuracy.
Solution Approach 2:
The patent transforms the nature of data sharing by changing the parameters of information exchange. Instead of sharing raw financial data, the system shares cryptographic proofs and verification results. This parameter change allows complete verification capability while maintaining data confidentiality, as the proof structures contain only the necessary verification information without exposing sensitive underlying data.
2Reliability
If virtual barriers (ethical walls) are implemented to block information sharing, then confidentiality obligations are satisfied, but the ability to perform comprehensive audits deteriorates
Solution Approach 1:
The privacy-preserving communication framework acts as a mediator that replaces traditional ethical walls. Instead of completely blocking information flow, it enables selective verification through cryptographic protocols. Audit systems can verify financial data across organizational boundaries without breaching confidentiality, thus maintaining compliance while improving audit comprehensiveness.
Solution Approach 2:
The patent replaces the mechanical barrier of ethical walls with a cryptographic system. Rather than physically or administratively blocking data access, the system uses zero-knowledge proofs and secure computation to achieve verification without exposure. This substitution eliminates the need for virtual barriers while maintaining confidentiality, thereby improving audit comprehensiveness.
3Reliability
If data residency and localization requirements are enforced, then regulatory compliance is improved, but data sharing across borders deteriorates
Solution Approach 1:
The privacy-preserving communication framework serves as a border-crossing intermediary that enables data verification without physical data movement. Financial institutions in different jurisdictions can verify each other's data through cryptographic protocols without transferring sensitive information across borders, thus maintaining data residency requirements while enabling international audit collaboration.
Solution Approach 2:
The system creates cryptographic copies and proofs of financial data that can be shared across borders without moving the actual sensitive data. These cryptographic representations contain all necessary verification information while preserving the location and sovereignty of the original data, thus complying with data localization requirements while enabling cross-border audit capabilities.
Data Source
AI summary
Provided herein are systems and methods for decentralized privacy preserving audits comprising receiving by a first local system, from an orchestrator system, instructions to perform a local audit; executing, by the first local system, in response to receiving the instructions to perform the local audit, a first local audit model epoch, wherein executing the first local audit model epoch comprises: analyzing information from one or more data sources from a local data set; receiving first input information from a second local system through a privacy preserving communication framework in response to requesting the first input information; determining whether information from the one or more data sources from the local data set is reconciled based on the first input information; and in accordance with a determination that the information from the one or more data sources from the local data set is not reconciled, executing a second local audit model epoch.


